SSS2.4 | Modelling soil erosion from crops to hillslope: trends and perspectives under global change
PICO
Modelling soil erosion from crops to hillslope: trends and perspectives under global change
Co-organized by GM5
Convener: Rossano Ciampalini | Co-conveners: Armand Crabit, Samuel Pelacani, Sandro Moretti

Water erosion is one of the most widespread forms of soil degradation and agricultural productivity loss as well as a substantial driver in landscape evolution and morphogenesis.
In the context of global change, the erosion process is expected to intensify its action, mainly because of an increase in the frequency of extreme precipitation and localized events.
Furthermore, the anthropic action in changing land uses and increasing erosive crops can contribute to the aggravation of the phenomenon.
In this session is expected to collect contributions for discussing over the files:
1. Soil erosion modelling, especially as part of scenario analysis in various contexts. Such an approach has exponentially grown in the last decades becoming a current tool for exploring new horizons in erosion prediction.
It may include new data processing methodologies with local and global approaches to improve understanding of long-term behaviors and determine possible trajectories due to the impact of erosion factors such as climate and land-use change.
2. Erosion modelling and assessment based on alternative data such as remote and proximal sensing, fingerprinting of sediment sources, benchmarking, etc., over a wide range of scales and methods.
This is in response to the increased availability of observational data, especially from satellite, allowing detailed monitoring of the processes.

Water erosion is one of the most widespread forms of soil degradation and agricultural productivity loss as well as a substantial driver in landscape evolution and morphogenesis.
In the context of global change, the erosion process is expected to intensify its action, mainly because of an increase in the frequency of extreme precipitation and localized events.
Furthermore, the anthropic action in changing land uses and increasing erosive crops can contribute to the aggravation of the phenomenon.
In this session is expected to collect contributions for discussing over the files:
1. Soil erosion modelling, especially as part of scenario analysis in various contexts. Such an approach has exponentially grown in the last decades becoming a current tool for exploring new horizons in erosion prediction.
It may include new data processing methodologies with local and global approaches to improve understanding of long-term behaviors and determine possible trajectories due to the impact of erosion factors such as climate and land-use change.
2. Erosion modelling and assessment based on alternative data such as remote and proximal sensing, fingerprinting of sediment sources, benchmarking, etc., over a wide range of scales and methods.
This is in response to the increased availability of observational data, especially from satellite, allowing detailed monitoring of the processes.